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Send email to ltalley@ucsd.edu and bennett@oce.orst.edu.

WOCE Analysis, Interpretation, Modelling and Synthesis (AIMS): Implementation Plan

WOCE Synthesis and Modelling Working Group


Draft: March 3, 1997

Table of contents

I. Introduction
I.1. Rationale for the AIMS phase
I.2. Summary of major recommendations
I.2.1. Ocean Model/Data Intercomparison Project (1998-2000)
I.2.2. Modelling and assimilation community efforts
I.2.3. Data Assembly Centers and Special Analysis Centers
I.2.4. Workshops
I.2.4.a. Regional workshops
I.2.4.b Global workshop (2000 or 2001)
I.2.4.c. Ocean modelling workshop (1997 or 1998)
I.2.4.d. Data assimilation workshop (1999 or 2000)
I.2.5. Publications

II. AIMS and the WOCE scientific objectives
II.1. WOCE Goal 1 - ocean model improvement

II.1.1. Heat and freshwater transports and fluxes, divergences, variability
II.1.2. Description of the World Ocean Circulation and dynamical balances
II.1.2.a. Ten-year mean circulation and forcing
II.1.2.b. Variations and statistics of the circulation and forcing
II.1.2.c. Rates and nature of water mass formation and ventilation
II.2. WOCE Goal 2
II.2.1. Representativeness of WOCE datasets
II.2.2. Design of a climate observing system

III. WOCE observations, data analysis and data products
III.1. Field observations
III.2. Data analysis
III.3. Data assembly and products

III.3.1. General recommendations for datasets and data products
III.3.2. WOCE Hydrographic Programme data
III.3.3. Drifter and float data
III.3.4. Upper ocean thermal and salinity data
III.3.5. Sea level data
III.3.6. Current meter data
III.3.7. Air-sea flux data
III.3.8. Satellite altimetry data
III.3.9. ADCP data
III.3.10. Bathymetry from WHP lines

IV. Ocean modelling
IV.1. Overview of the status of ocean models

IV.1.1. Coarse resolution models
IV.1.2 High resolution (eddy permitting/resolving) models
IV.1.3. Major open issues in ocean modelling
IV.2. WOCE-related ocean modelling
IV.2.1. Existing and planned efforts
IV.2.2. Available and needed resources.
IV.3. Strategy for model development.
IV.3.1. Towards WOCE main objective: develop a model for climate prediction
IV.3.2. Process models and parameterizations
IV.3.3. Numerics
IV.3.4. Model-data comparison - validation
IV.4. Modelling recommendations
IV.4.1. Ocean modelling workshop
IV.4.2. Ocean Model/Data Inter-comparison Project (OMDIP)
IV.4.3. Joint development of community models
IV.4.4. Resource requirements for AIMS modelling
IV.4.5. Model products

V. Data assimilation
V.1. Introduction
V.2. Objectives
V.3. Data assimilation methods

V.3.1. Sequential estimation
V.3.2. Inverse methods
V.4. Resources and requirements
V.4.1. Knowledge
V.4.2. Training
V.4.3. Computing
V.4.4. Data assimilation centers
V.4.5. Models
V.4.6. Data
V.4.7. Assimilation method developments
V.4.7.a. Dynamical error statistics
V.4.7.b. Estimators
V.4.7.c. Optimization algorithms
V.4.7.d. Assimilation into steady ocean models
V.5. Data assimilation workshops, training and intercomparisons
V.6. Summary

Lynne Talley, ltalley@ucsd.edu
Scripps Institution of Oceanography
University of California, San Diego, CA

Andrew Bennett bennett@oce.orst.edu
Oregon State University
Corvallis, Oregon

Last updated March 3, 1997